Google: Gemini 3.8 Flash

Gemini 3.8 Flash is a Google model that accepts text, image, video, audio, and file inputs, which makes it suitable for mixed-media workloads without separate preprocessing pipelines. It offers a context window of 1,048,576 tokens and can return up to 65,536 tokens per response, enough to handle long documents or extended transcripts in a single pass. It supports tool calling and a reasoning mode; structured output support is not listed in the available data. At $0.75 per million input tokens and $3.75 per million output tokens, it suits teams that need broad input coverage and long context. Output-heavy tasks will cost noticeably more than input-heavy ones. Its blended benchmark score of 69.0 comes from a single independent benchmark, so its standing against competitors is only partially established. Shortlist it for multimodal or long-context work, but run your own evaluations before committing, since one benchmark offers a thin basis for comparison.